</p><pre><code class="language-python3"># Python Program to blur image
import cv2 

# bat.jpg is the batman image.
img = cv2.imread('bat.jpg') 

# make sure that you have saved it in the same folder
# You can change the kernel size as you want
blurImg = cv2.blur(img,(10,10)) 
cv2.imshow('blurred image',blurImg)

cv2.waitKey(0)
cv2.destroyAllWindows()</code></pre><p></p><p><span>
</span></p><p dir="ltr"><span>       Output: </span></p><img src="https://media.geeksforgeeks.org/wp-content/cdn-uploads/20201127104358/577.png" width="622" height="651"><p style="text-align: justify;" dir="ltr"><span>Now, this program above is using image blurring technique called </span><b><strong>Averaging.</strong></b><span>There are some other options available as well – </span><b><strong>Gaussian Blurring, Median Blurring, Bilateral Filtering.</strong></b><span> Let’s make a couple of additions in our program and compare the results.</span></p><gfg-tabs data-run-ide="false" data-mode="light"><gfg-tab slot="tab">Python</gfg-tab><gfg-panel slot="panel" data-code-lang="python3"><pre><code class="language-python3">
# importing opencv CV2 module
import cv2 

# bat.jpg is the batman image.
img = cv2.imread('gfg.png')
 
# make sure that you have saved it in the same folder
# Averaging
# You can change the kernel size as you want
avging = cv2.blur(img,(10,10))
 
cv2.imshow('Averaging',avging)
cv2.waitKey(0)

# Gaussian Blurring
# Again, you can change the kernel size
gausBlur = cv2.GaussianBlur(img, (5,5),0) 
cv2.imshow('Gaussian Blurring', gausBlur)
cv2.waitKey(0)

# Median blurring
medBlur = cv2.medianBlur(img,5)
cv2.imshow('Media Blurring', medBlur)
cv2.waitKey(0)

# Bilateral Filtering
bilFilter = cv2.bilateralFilter(img,9,75,75)
cv2.imshow('Bilateral Filtering', bilFilter)
cv2.waitKey(0)
cv2.destroyAllWindows()